TypeError: __init__() takes exactly 1 ar?报错

这段代码摘自Philipp博客(http://bytefish.de/blog/fisherfaces/;https://github.com/bytefish/facerec)

如下为 fisherfaces_example.py

#!/usr/bin/env python
# -*- coding: utf-8 -*-

# Copyright (c) Philipp Wagner. All rights reserved.
# Licensed under the BSD license. See LICENSE file in the project root for full license information.

import sys
import os
# append facerec to module search path
sys.path.append("../..")
# import facerec stuff
from facerec.dataset import NumericDataSet
from facerec.feature import Fisherfaces
from facerec.distance import EuclideanDistance, CosineDistance
from facerec.classifier import NearestNeighbor
from facerec.classifier import SVM
from facerec.model import PredictableModel
from facerec.validation import KFoldCrossValidation
from facerec.visual import subplot
from facerec.util import minmax_normalize
# import numpy
import numpy as np
# import matplotlib colormaps
import matplotlib.cm as cm
# import for logging
import logging
import sys
# set up a handler for logging
handler = logging.StreamHandler(sys.stdout)
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
handler.setFormatter(formatter)
# add handler to facerec modules
logger = logging.getLogger("facerec")
logger.addHandler(handler)
logger.setLevel(logging.DEBUG)
# load a dataset (e.g. AT&T Facedatabase)
dataSet = NumericDataSet("C:\Users\WT\Desktop\jpg")#"/home/philipp/facerec/data/yalefaces_recognition"
#os.path.join('C:\Users\WT\Desktop\jpg\s1', '1.pgm')
# define Fisherfaces as feature extraction method
feature = Fisherfaces()
# define a 1-NN classifier with Euclidean Distance
classifier = NearestNeighbor(dist_metric=EuclideanDistance(), k=1)
# define the model as the combination
model = PredictableModel(feature=feature, classifier=classifier)
# show fisherfaces
model.compute(dataSet.data, dataSet.labels)
# turn the first (at most) 16 eigenvectors into grayscale
# images (note: eigenvectors are stored by column!)
E = []
for i in xrange(min(model.feature.eigenvectors.shape[1], 16)):
    e = model.feature.eigenvectors[:, i].reshape(dataSet.data[0].shape)
    E.append(minmax_normalize(e, 0, 255, dtype=np.uint8))
# plot them and store the plot to "python_fisherfaces_fisherfaces.pdf"
subplot(title="Fisherfaces", images=E, rows=4, cols=4, sptitle="Fisherface", colormap=cm.jet, filename="fisherfaces.pdf")
# perform a 10-fold cross validation
cv = KFoldCrossValidation(model, k=10)
cv.validate(dataSet.data, dataSet.labels)
cv.print_results()

运行报错：C:\Python\python.exe I:/facerec-master/py/apps/scripts/fisherfaces_example.py
Traceback (most recent call last):
  File "I:/facerec-master/py/apps/scripts/fisherfaces_example.py", line 37, in <module>
    dataSet = NumericDataSet("C:\Users\WT\Desktop\jpg")
TypeError: __init__() takes exactly 1 argument (2 given)


Process finished with exit code 1

新手初出茅庐，请多多指教！